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An Interval Type-2 Fuzzy System with a Species-Based Hybrid Algorithm for Nonlinear System Control Design
Joint Authors
Li, Chung-Ta
Chang, Feng-Yu
Lee, Ching-Hung
Lin, Chih-Min
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-24
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
We propose a species-based hybrid of the electromagnetism-like mechanism (EM) and back-propagation algorithms (SEMBP) for an interval type-2 fuzzy neural system with asymmetric membership functions (AIT2FNS) design.
The interval type-2 asymmetric fuzzy membership functions (IT2 AFMFs) and the TSK-type consequent part are adopted to implement the network structure in AIT2FNS.
In addition, the type reduction procedure is integrated into an adaptive network structure to reduce computational complexity.
Hence, the AIT2FNS can enhance the approximation accuracy effectively by using less fuzzy rules.
The AIT2FNS is trained by the SEMBP algorithm, which contains the steps of uniform initialization, species determination, local search, total force calculation, movement, and evaluation.
It combines the advantages of EM and back-propagation (BP) algorithms to attain a faster convergence and a lower computational complexity.
The proposed SEMBP algorithm adopts the uniform method (which evenly scatters solution agents over the feasible solution region) and the species technique to improve the algorithm’s ability to find the global optimum.
Finally, two illustrative examples of nonlinear systems control are presented to demonstrate the performance and the effectiveness of the proposed AIT2FNS with the SEMBP algorithm.
American Psychological Association (APA)
Li, Chung-Ta& Lee, Ching-Hung& Chang, Feng-Yu& Lin, Chih-Min. 2014. An Interval Type-2 Fuzzy System with a Species-Based Hybrid Algorithm for Nonlinear System Control Design. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-494483
Modern Language Association (MLA)
Li, Chung-Ta…[et al.]. An Interval Type-2 Fuzzy System with a Species-Based Hybrid Algorithm for Nonlinear System Control Design. Mathematical Problems in Engineering No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-494483
American Medical Association (AMA)
Li, Chung-Ta& Lee, Ching-Hung& Chang, Feng-Yu& Lin, Chih-Min. An Interval Type-2 Fuzzy System with a Species-Based Hybrid Algorithm for Nonlinear System Control Design. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-494483
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494483